Abstract
Sensor networks integrated with cloud computing platform provides a promising way to develop monitoring system for elderly people especially dementia patients who need particular care for their normal life. In our work, we aim to design a comprehensive, unobtrusive, real-time, low-cost but effective monitoring system to help caregivers for their daily healthcare work. The system design has been finished and the entire experimental environment including sensor network and cloud model has been set up in our lab to collect simulated data and one health care center to collect real data. Though the system has been partially implemented due to time limit, the experiment results are encouraging.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
WHO Website, Interesting Facts about Ageing, Available online: http://www.who.int/ageing/about/facts/en/index.html. Accessed on 20 Mar 2015
Alemdar, H., Ersoy, C.: Wireless sensor networks for healthcare: a survey. Comput. Netw. 54(15), 2688–2710 (2010)
Chung-Chih, L., Ming-Jang, C., Chun-Chieh, H., Ren-Guey, L., Yuh-Show, T.: Wireless health care service system for elderly with dementia. IEEE Trans. Inf. Technol. Biomed. 10(4), 696–704 (2006)
Chung-Chih, L., Ping-Yeh, L., Po-Kuan, L., Guan-Yu, H., Wei-Lun, L., Ren-Guey, L.: A healthcare integration system for disease assessment and safety monitoring of dementia patients. IEEE Trans. Inf. Technol. Biomed. 12(5), 579–586 (2008)
Tabar, A.M., Keshavarz, A., Aghajan, H.: Smart home care network using sensor fusion and distributed vision-based reasoning. In: Proceedings of the 4th ACM International Workshop on Video Surveillance and Sensor Networks, pp. 145–154. Santa Barbara, CA, USA, ACM, Santa Barbara, USA, 27 Oct 2006
Lopez-Nores, M., Pazos-arias, J., Garcia-Duque, J., Blanco-Fernandez, Y.: Monitoring medicine intake in the networked home: the icabinet solution. In: Proceedings of the Second International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2008), pp. 116–117. Tampere, Finland (2008)
Suryadevara, N.K., Gaddam, A., Rayudu, R.K., et al.: Wireless sensors network based safe home to care elderly people: behaviour detection. Sens. Actuators A Phys. 277–283 (2012)
Wolford, D.K.: System, pad and method for monitoring a sleeping person to detect an apnea state condition: U.S. Patent Application 12/359,459[P] (2009)
https://developer.android.com/google/gcm/gcm.html#arch. Accessed 2 Jan 2015
https://cloud.google.com/sql/. Accessed 5 Feb 2015
Bloom, Burton H.: Space/time trade-offs in hash coding with allowable errors. Commun. ACM 13, 422–426 (1970)
Chatfield, C.: The analysis of time series: an introduction. CRC press (2013)
Sakoe, H., Chiba, S.: Dynamic programming algorithm optimization for spoken word recognition. IEEE Trans. Acoust. Speech Signal Process. ASSP 26, 43–49 (1978)
Stan, S., Philip, C.: FastDTW: Toward accurate dynamic time warping in linear time and space. In: KDD Workshop on Mining Temporal and Sequential Data, pp. 70–80 (2004)
Bergroth, L., Hakonen, H., Raita, T.: A survey of longest common subsequence algorithms. In: Proceedings of Seventh International Symposium on String Processing and Information Retrieval, 2000. SPIRE 2000, pp. 39–48. IEEE (2000)
Acknowledgements
This work was supported by the National Research Foundation of Korea (NRF) grant funded by Basic Science Research Program through the National Research Foundation of Korea (NRF) (No. 2013R1A2A2A01068923) and the MSIP (Ministry of Science, ICT and Future Planning), Korea, under the ITRC (Information Technology Research Center) support program (NIPA-2013-H0301-13-4009) supervised by the NIPA (National IT Industry Promotion Agency).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Li, D., Park, H.W., Piao, M., Ryu, K.H. (2016). The Design and Partial Implementation of the Dementia-Aid Monitoring System Based on Sensor Network and Cloud Computing Platform. In: Lee, R. (eds) Applied Computing & Information Technology. Studies in Computational Intelligence, vol 619. Springer, Cham. https://doi.org/10.1007/978-3-319-26396-0_7
Download citation
DOI: https://doi.org/10.1007/978-3-319-26396-0_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-26394-6
Online ISBN: 978-3-319-26396-0
eBook Packages: EngineeringEngineering (R0)